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Jaehwan Lee
Observed names:
Jae-Hwan Lee,
Jaehwan LEE
Institution:
Kongju National University
Observed institutions:
Korea Telecom (South Korea),
Kongju National University,
Hansung University,
Korea Aerospace University,
LG Chem (South Korea),
University of Maryland, College Park,
Chung-Ang University,
Jeonbuk National University
show all 8
ORCID:
0000-0001-6248-9567
Observed ORCID:
0000-0001-6248-9567
OpenAlex ID:
A5100762132
Enhancement of VoIP over IEEE 802.11 WLAN via dual queue strategy
2004
·
Jeonggyun Yu
, Sunghyun Choi
, et al.
·
International Conference on Communications
·
64
A Multi-Stage Convolution Machine with Scaling and Dilation for Human Pose Estimation
2019
·
Yali Nie
, Jaehwan Lee
, et al.
·
KSII Transactions on Internet and Information Systems
·
38
PDF
Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
2021
·
Hyeonseong Choi
, Jaehwan Lee
·
Applied Sciences
·
27
PDF
Optimizing the Hadoop MapReduce Framework with high-performance storage devices
2015
·
Sangwhan Moon
, Jaehwan Lee
, et al.
·
The Journal of Supercomputing
·
26
An empirical study of I/O separation for burst buffers in HPC systems
2020
·
Donghun Koo
, Jaehwan Lee
, et al.
·
Journal of Parallel and Distributed Computing
·
24
PDF
A parameterized model to select discriminating features on keystroke dynamics authentication on smartphones
2019
·
Hyungu Lee
, Jung Yeon Hwang
, et al.
·
Pervasive and Mobile Computing
·
22
Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster
2020
·
Youngrang Kim
, Hyeonseong Choi
, et al.
·
Cluster Computing
·
21
A Hybrid Swapping Scheme Based On Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018)
2018
·
Junyeong Han
, Sungeun Kim
, et al.
·
IEEE Access
·
20
Accelerating a Burst Buffer Via User-Level I/O Isolation
2017
·
Jaehyun Han
, Donghun Koo
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
20
Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster
2019
·
Youngrang Kim
, Hyeonseong Choi
, et al.
·
IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W)
·
18
Efficient Multi-GPU Memory Management for Deep Learning Acceleration
2018
·
Youngrang Kim
, Jaehwan Lee
, et al.
·
IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W)
·
17
On the role of message broker middleware for many-task computing on a big-data platform
2018
·
Cao Ngoc Nguyen
, Jaehwan Lee
, et al.
·
Cluster Computing
·
17
Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration
2019
·
Youngrang Kim
, Jaehwan Lee
, et al.
·
Cluster Computing
·
15
Decentralized dynamic scheduling across heterogeneous multi-core desktop grids
2010
·
Jaehwan Lee
, Pete Keleher
, et al.
·
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
·
12
Electro-optical properties of thermally stable self-crosslinkable copolymer with glycidyl methacrylate units
1999
·
Taek Seung Lee
, Jaehwan Lee
, et al.
·
European Polymer Journal
·
11
Finer-LRU: A Scalable Page Management Scheme for HPC Manycore Architectures
2021
·
Jiwoo Bang
, Chungyong Kim
, et al.
·
IEEE International Parallel and Distributed Processing Symposium (IPDPS)
·
10
Towards accelerating model parallelism in distributed deep learning systems
2023
·
Hyeonseong Choi
, Byung Hyun Lee
, et al.
·
PLoS ONE
·
9
PDF
A Survey on Mobile Edge Computing Architectures for Deep Learning Models
2022
·
Jaehwan Lee
, Woongsoo Na
·
International Conference on Information and Communication Technology Convergence (ICTC)
·
9
Harnessing prototype networks for novel plant species and disease classification in open-world scenarios
2025
·
Jiuqing Dong
, Wei Jin
, et al.
·
Engineering Applications of Artificial Intelligence
·
7
A Verifier-Based Password-Authenticated Key Exchange Using Tamper-Proof Hardware
2020
·
Ji Sun Shin
, Minjae Jo
, et al.
·
The Computer Journal
·
6
Exploring the Validity of Behavior Coding
2018
·
Hyunjoo Park
, Jaehwan Lee
·
Field Methods
·
6
Collective Communication Performance Evaluation for Distributed Deep Learning Training
2024
·
Sookwang Lee
, Jaehwan Lee
·
Applied Sciences
·
5
Variation-aware semantic image synthesis
2024
·
Mingle Xu
, Jaehwan Lee
, et al.
·
Image and Vision Computing
·
5
PDF
Accelerating I/O performance of ZFS-based Lustre file system in HPC environment
2022
·
Jiwoo Bang
, Chungyong Kim
, et al.
·
The Journal of Supercomputing
·
5
Instance-Level Image Translation With a Local Discriminator
2021
·
Mingle Xu
, Jaehwan Lee
, et al.
·
IEEE Access
·
5
PDF
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Works count:
58
Citation count:
468
H-index:
13
I10-index:
16
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